建分类网站得花多少钱,多多电影免费播放,wordpress移动底部菜单,响应网官方网站一旦你的程序docker化之后,你会遇到各种问题#xff0c;比如原来采用的本地记日志的方式就不再方便了#xff0c;虽然你可以挂载到宿主机#xff0c;但你使用 --scale 的话#xff0c;会导致记录日志异常#xff0c;所以最好的方式还是要做日志中心化#xff0c;另一个问… 一旦你的程序docker化之后,你会遇到各种问题比如原来采用的本地记日志的方式就不再方便了虽然你可以挂载到宿主机但你使用 --scale 的话会导致记录日志异常所以最好的方式还是要做日志中心化另一个问题原来一个请求在一个进程中的痉挛失败你可以在日志中巡查出调用堆栈但是docker化之后原来一个进程的东西会拆成几个微服务这时候最好就要有一个分布式的调用链跟踪类似于wcf中的svctraceview工具。一搭建skywalking gihub地址是https://github.com/apache/incubator-skywalking 从文档中大概看的出来大体分三个部分存储收集器探针存储这里就选用推荐的 elasticsearch。收集器准备和es部署在一起探针就有各自语言的实现了总之这里就有三个docker containereskibanaskywalking 如果不用容器编排工具的话就比较麻烦。下面是本次搭建的一个目录结构1. elasticsearch.ymles的配置文件不过这里有一个坑就是一定要将 network.publish_host0.0.0.0 否则skywalking会连不上 9300端口。
network.publish_host: 0.0.0.0
transport.tcp.port: 9300
network.host: 0.0.0.02. elasticsearch.dockerfile在up的时候将这个es文件copy到 容器的config文件夹下。
FROM elasticsearch:5.6.4EXPOSE 9200 9300COPY elasticsearch.yml /usr/share/elasticsearch/config/3. application.ymlskywalking的配置文件这里也有一个坑连接es的地址中配置的 clustername一定要修改成和es的clustername保持一致否则会连不上这里容器之间用link进行互联所以es的ip改成elasticsearch就可以了其他的ip改成0.0.0.0 。
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# License); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an AS IS BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.#cluster:
# zookeeper:
# hostPort: localhost:2181
# sessionTimeout: 100000
naming:jetty:host: 0.0.0.0port: 10800contextPath: /
cache:
# guava:caffeine:
remote:gRPC:host: 0.0.0.0port: 11800
agent_gRPC:gRPC:host: 0.0.0.0port: 11800#Set these two setting to open ssl#sslCertChainFile: $path#sslPrivateKeyFile: $path#Set your own token to active auth#authentication: xxxxxx
agent_jetty:jetty:host: 0.0.0.0port: 12800contextPath: /
analysis_register:default:
analysis_jvm:default:
analysis_segment_parser:default:bufferFilePath: ../buffer/bufferOffsetMaxFileSize: 10MbufferSegmentMaxFileSize: 500MbufferFileCleanWhenRestart: true
ui:jetty:host: 0.0.0.0port: 12800contextPath: /
storage:elasticsearch:clusterName: elasticsearchclusterTransportSniffer: trueclusterNodes: elasticsearch:9300indexShardsNumber: 2indexReplicasNumber: 0highPerformanceMode: truettl: 7
#storage:
# h2:
# url: jdbc:h2:~/memorydb
# userName: sa
configuration:default:
# namespace: xxxxx
# alarm thresholdapplicationApdexThreshold: 2000serviceErrorRateThreshold: 10.00serviceAverageResponseTimeThreshold: 2000instanceErrorRateThreshold: 10.00instanceAverageResponseTimeThreshold: 2000applicationErrorRateThreshold: 10.00applicationAverageResponseTimeThreshold: 2000
# thermodynamicthermodynamicResponseTimeStep: 50thermodynamicCountOfResponseTimeSteps: 404. skywalking.dockerfile接下来就是 skywalking的 下载安装使用dockerfile流程化。
FROM centos:7LABEL usernamehxcqq.comWORKDIR /appRUN yum install -y wget \yum install -y java-1.8.0-openjdkADD http://mirrors.hust.edu.cn/apache/incubator/skywalking/5.0.0-RC2/apache-skywalking-apm-incubating-5.0.0-RC2.tar.gz /appRUN tar -xf apache-skywalking-apm-incubating-5.0.0-RC2.tar.gz \mv apache-skywalking-apm-incubating skywalkingRUN ls /app#copy文件
COPY application.yml /app/skywalking/config/application.ymlWORKDIR /app/skywalking/binUSER rootRUN echo tail -f /dev/null /app/skywalking/bin/startup.shCMD [/bin/sh,-c,/app/skywalking/bin/startup.sh ]5. docker-compose.yml最后就是将这三个容器进行编排要注意的是因为收集器会将数据放入到es中所有一定要将es的data挂载到宿主机的大硬盘下否则你的空间会不足的。
version: 3.1services:#elastic 镜像elasticsearch:build:context: .dockerfile: elasticsearch.dockerfile# ports:# - 9200:9200# - 9300:9300volumes:- /data/es2:/usr/share/elasticsearch/data#kibana 可视化查询暴露 5601kibana:image: kibanalinks:- elasticsearchports:- 5601:5601depends_on:- elasticsearch#skywalkingskywalking:build:context: .dockerfile: skywalking.dockerfileports:- 10800:10800- 11800:11800- 12800:12800- 8080:8080links:- elasticsearchdepends_on:- elasticsearch二一键部署 要部署在docker中你还得需要安装docker-ce 和 docker-compose大家可以参照官方安装一下。1. Docker-ce 的安装
sudo yum remove docker \
docker-client \
docker-client-latest \
docker-common \
docker-latest \
docker-latest-logrotate \
docker-logrotate \
docker-selinux \
docker-engine-selinux \
docker-enginesudo yum install -y yum-utils \
device-mapper-persistent-data \
lvm2sudo yum-config-manager \
--add-repo \
https://download.docker.com/linux/centos/docker-ce.reposudo yum install docker-ce然后启动一下docker 服务可以看到版本是18.06.1
[rootlocalhost ~]# service docker start
Redirecting to /bin/systemctl start docker.service
[rootlocalhost ~]# docker -v
Docker version 18.06.1-ce, build e68fc7a2. docker-compose的安装
sudo curl -L https://github.com/docker/compose/releases/download/1.22.0/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-composesudo chmod x /usr/local/bin/docker-compose3. 最后在centos上执行 docker-compopse up --build 就可以了如果不想terminal上运行可以加 -d 使用后台执行。
[rootlocalhost docker]# docker-compose up --build
Creating network docker_default with the default driver
Building elasticsearch
Step 1/3 : FROM elasticsearch:5.6.4--- 7a047c21aa48
Step 2/3 : EXPOSE 9200 9300--- Using cache--- 8d66bb57b09d
Step 3/3 : COPY elasticsearch.yml /usr/share/elasticsearch/config/--- Using cache--- 02b516c03b95
Successfully built 02b516c03b95
Successfully tagged docker_elasticsearch:latest
Building skywalking
Step 1/12 : FROM centos:7--- 5182e96772bf
Step 2/12 : LABEL usernamehxcqq.com--- Using cache--- b95b96a92042
Step 3/12 : WORKDIR /app--- Using cache--- afdf4efe3426
Step 4/12 : RUN yum install -y wget yum install -y java-1.8.0-openjdk--- Using cache--- 46be0ca0f7b5
Step 5/12 : ADD http://mirrors.hust.edu.cn/apache/incubator/skywalking/5.0.0-RC2/apache-skywalking-apm-incubating-5.0.0-RC2.tar.gz /app--- Using cache--- d5c30bcfd5ea
Step 6/12 : RUN tar -xf apache-skywalking-apm-incubating-5.0.0-RC2.tar.gz mv apache-skywalking-apm-incubating skywalking--- Using cache--- 1438d08d18fa
Step 7/12 : RUN ls /app--- Using cache--- b594124672ea
Step 8/12 : COPY application.yml /app/skywalking/config/application.yml--- Using cache--- 10eaf0805a65
Step 9/12 : WORKDIR /app/skywalking/bin--- Using cache--- bc0f02291536
Step 10/12 : USER root--- Using cache--- 4498afca5fe6
Step 11/12 : RUN echo tail -f /dev/null /app/skywalking/bin/startup.sh--- Using cache--- 1c4be7c6b32a
Step 12/12 : CMD [/bin/sh,-c,/app/skywalking/bin/startup.sh ]--- Using cache--- ecfc97e4c97d
Successfully built ecfc97e4c97d
Successfully tagged docker_skywalking:latest
Creating docker_elasticsearch_1 ... done
Creating docker_skywalking_1 ... done
Creating docker_kibana_1 ... done
Attaching to docker_elasticsearch_1, docker_kibana_1, docker_skywalking_1
elasticsearch_1 | [2018-09-17T23:51:57,886][INFO ][o.e.c.m.MetaDataCreateIndexService] [FC_bOh1] [service_metric_day] creating index, cause [api], templates [], shards [2]/[0], mappings [type]
elasticsearch_1 | [2018-09-17T23:51:57,962][INFO ][o.e.c.r.a.AllocationService] [FC_bOh1] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[service_metric_day][0]] ...]).
elasticsearch_1 | [2018-09-17T23:51:58,115][INFO ][o.e.c.m.MetaDataCreateIndexService] [FC_bOh1] [application_metric_hour] creating index, cause [api], templates [], shards [2]/[0], mappings [type]
elasticsearch_1 | [2018-09-17T23:51:58,176][INFO ][o.e.c.r.a.AllocationService] [FC_bOh1] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[application_metric_hour][1]] ...]).
elasticsearch_1 | [2018-09-17T23:51:58,356][INFO ][o.e.c.m.MetaDataCreateIndexService] [FC_bOh1] [application_metric_month] creating index, cause [api], templates [], shards [2]/[0], mappings [type]
elasticsearch_1 | [2018-09-17T23:51:58,437][INFO ][o.e.c.r.a.AllocationService] [FC_bOh1] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[application_metric_month][0]] ...]).
elasticsearch_1 | [2018-09-17T23:51:58,550][INFO ][o.e.c.m.MetaDataCreateIndexService] [FC_bOh1] [instance_mapping_month] creating index, cause [api], templates [], shards [2]/[0], mappings [type]
elasticsearch_1 | [2018-09-17T23:52:05,544][INFO ][o.e.c.m.MetaDataCreateIndexService] [FC_bOh1] [gc_metric_minute] creating index, cause [api], templates [], shards [2]/[0], mappings [type]从上图中可以看到 eskibanaskywalking都启动成功了你也可以通过docker-compose ps 看一下是否都起来了netstat 看一下宿主机开放了哪些端口。
[rootlocalhost docker]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9aa90401ca16 kibana /docker-entrypoint.… 2 minutes ago Up 2 minutes 0.0.0.0:5601-5601/tcp docker_kibana_1
c551248e32af docker_skywalking /bin/sh -c /app/sky… 2 minutes ago Up 2 minutes 0.0.0.0:8080-8080/tcp, 0.0.0.0:10800-10800/tcp, 0.0.0.0:11800-11800/tcp, 0.0.0.0:12800-12800/tcp docker_skywalking_1
765d38469ff1 docker_elasticsearch /docker-entrypoint.… 2 minutes ago Up 2 minutes 9200/tcp, 9300/tcp docker_elasticsearch_1
[rootlocalhost docker]# netstat -tlnp
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 192.168.122.1:53 0.0.0.0:* LISTEN 2013/dnsmasq
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN 1141/sshd
tcp 0 0 127.0.0.1:631 0.0.0.0:* LISTEN 1139/cupsd
tcp 0 0 127.0.0.1:25 0.0.0.0:* LISTEN 1622/master
tcp6 0 0 :::8080 :::* LISTEN 38262/docker-proxy
tcp6 0 0 :::10800 :::* LISTEN 38248/docker-proxy
tcp6 0 0 :::22 :::* LISTEN 1141/sshd
tcp6 0 0 ::1:631 :::* LISTEN 1139/cupsd
tcp6 0 0 :::11800 :::* LISTEN 38234/docker-proxy
tcp6 0 0 ::1:25 :::* LISTEN 1622/master
tcp6 0 0 :::12800 :::* LISTEN 38222/docker-proxy
tcp6 0 0 :::5601 :::* LISTEN 38274/docker-proxy
[rootlocalhost docker]#然后就可以看一些8080端口的可视化UI默认用户名密码adminadmin一个比较耐看的UI就出来了。三net下的探针 从nuget上拉取一个SkyWalking.AspNetCore探针进行代码埋点github地址https://github.com/OpenSkywalking/skywalking-netcore在startup类中进行注入在页面请求中进行一次cnblogs.com的请求操作然后仔细观察一下调用链跟踪是一个什么样子
namespace WebApplication1
{public class Startup{// This method gets called by the runtime. Use this method to add services to the container.// For more information on how to configure your application, visit https://go.microsoft.com/fwlink/?LinkID398940public void ConfigureServices(IServiceCollection services){services.AddSkyWalking(option {// Application code is showed in sky-walking-uioption.ApplicationCode 10001 测试站点;//Collector agent_gRPC/grpc service addresses.option.DirectServers 192.168.23.183:11800;});}// This method gets called by the runtime. Use this method to configure the HTTP request pipeline.public void Configure(IApplicationBuilder app, IHostingEnvironment env){if (env.IsDevelopment()){app.UseDeveloperExceptionPage();}app.Run(async (context) {WebClient client new WebClient();var str client.DownloadString(http://cnblogs.com);await context.Response.WriteAsync(str);});}}
}可以看到这张图还是蛮漂亮的哈也方便我们快速的跟踪代码发现问题找出问题 还有更多的功能期待你的挖掘啦。好了本篇就说到这里希望对你有帮助。
